{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: Precompiling module PyPlot...\n",
      "INFO: Recompiling stale cache file /home/juser/.julia/lib/v0.4/PyCall.ji for module PyCall.\n",
      "WARNING: Module Compat uuid did not match cache file\n",
      "WARNING: deserialization checks failed while attempting to load cache from /home/juser/.julia/lib/v0.4/PyCall.ji\n",
      "INFO: Precompiling module PyCall...\n",
      "INFO: Recompiling stale cache file /home/juser/.julia/lib/v0.4/PyCall.ji for module PyCall.\n",
      "WARNING: Module Compat uuid did not match cache file\n"
     ]
    },
    {
     "ename": "LoadError",
     "evalue": "LoadError: __precompile__(true) but require failed to create a precompiled cache file\nwhile loading In[1], in expression starting on line 1",
     "output_type": "error",
     "traceback": [
      "LoadError: __precompile__(true) but require failed to create a precompiled cache file\nwhile loading In[1], in expression starting on line 1",
      "",
      " in require at ./loading.jl:252",
      " in stale_cachefile at loading.jl:441",
      " in recompile_stale at loading.jl:458",
      " in _require_from_serialized at loading.jl:83",
      " in require at ./loading.jl:251"
     ]
    }
   ],
   "source": [
    "using PyPlot\n",
    "using JuMP\n",
    "using Ipopt\n",
    "using SpectraJu\n",
    "\n",
    "data = readdlm(\"./Fo_exp6_P5.txt\", '\\t')\n",
    "\n",
    "#  the experience details\n",
    "step = 5. *1e-6 # steps in meters\n",
    "time = 20.0 *3600.0 # time in seconds\n",
    "println(\"Done\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done\n"
     ]
    }
   ],
   "source": [
    "start_sp = 22\n",
    "stop_sp = 100\n",
    "low_x = 3560.\n",
    "high_x = 3630.\n",
    "first_bound_norm = 1650.\n",
    "second_bound_norm = 2150.\n",
    "\n",
    "x, y, x_fit, y_fit = IRdataprep(data,step,start_sp,stop_sp,low_x,high_x,first_bound_norm,second_bound_norm)\n",
    "println(\"Done\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Constructed...\n"
     ]
    }
   ],
   "source": [
    "function sqerror(betas)\n",
    "    err = sum((model(betas,x_fit,time) - y_fit).^2)\n",
    "end\n",
    "\n",
    "# with the Optim library\n",
    "#res1 = optimize(sqerror,p0,method=:nelder_mead,iterations = 4000) \n",
    "#intermediate_p = res1.minimum\n",
    "\n",
    "# number of data =\n",
    "n = size(x_fit)[1]\n",
    "time = 20.*3600\n",
    "\n",
    "mod = Model(solver=IpoptSolver(print_level=0))\n",
    "\n",
    "# The parameters, for each gaussian\n",
    "@defVar(mod,g1_p[i=1:5])\n",
    "@defVar(mod,g2_p[i=1:5]) \n",
    "@defVar(mod,g3_p[i=1:5]) \n",
    "@defVar(mod,g4_p[i=1:5]) \n",
    "@defVar(mod,g5_p[i=1:5]) \n",
    "\n",
    "#Initial values\n",
    "setValue(g1_p[1], 0.00001)\n",
    "setValue(g1_p[2], .00002)\n",
    "setValue(g1_p[3], -12.0)\n",
    "setValue(g1_p[4], 3566)\n",
    "setValue(g1_p[5], 3.0)\n",
    "\n",
    "setValue(g2_p[1], 0.00001)\n",
    "setValue(g2_p[2], 0.0001)\n",
    "setValue(g2_p[3], -13.0)\n",
    "setValue(g2_p[4], 3579)\n",
    "setValue(g2_p[5], 3.0)\n",
    "\n",
    "setValue(g3_p[1], 0.00001)\n",
    "setValue(g3_p[2], 0.00005)\n",
    "setValue(g3_p[3], -12.0)\n",
    "setValue(g3_p[4], 3591)\n",
    "setValue(g3_p[5], 3.0)\n",
    "\n",
    "setValue(g4_p[1], 0.00001)\n",
    "setValue(g4_p[2], 0.0003)\n",
    "setValue(g4_p[3], -13.0)\n",
    "setValue(g4_p[4], 3614)\n",
    "setValue(g4_p[5], 3.0)\n",
    "\n",
    "setValue(g5_p[1], 0.00001)\n",
    "setValue(g5_p[2], 0.00004)\n",
    "setValue(g5_p[3], -13.0)\n",
    "setValue(g5_p[4], 3624)\n",
    "setValue(g5_p[5], 3.0)\n",
    "\n",
    "# Constrains\n",
    "#@addConstraint(mod, g1_p[1] >= 0.)\n",
    "#@addConstraint(mod, g1_p[2] >= 0.)\n",
    "#@addConstraint(mod, -20 <= g1_p[3] <= 0.0)\n",
    "#@addConstraint(mod, 3560 <= g1_p[4] <= 3570)\n",
    "#@addConstraint(mod, 0 <= g1_p[5] <= 10)\n",
    "\n",
    "#@addConstraint(mod, g2_p[1] >= 0.)\n",
    "#@addConstraint(mod, g2_p[2] >= 0.)\n",
    "#@addConstraint(mod, -20 <= g2_p[3] <= 0.0)\n",
    "#@addConstraint(mod, 3570 <= g2_p[4] <= 3581)\n",
    "#@addConstraint(mod, 0 <= g2_p[5] <= 10)\n",
    "\n",
    "#@addConstraint(mod, g3_p[1] >= 0.)\n",
    "#@addConstraint(mod, g3_p[2] >= 0.)\n",
    "#@addConstraint(mod, -20 <= g3_p[3] <= 0.0)\n",
    "#@addConstraint(mod, 3585 <= g3_p[4] <= 3600)\n",
    "#@addConstraint(mod, 0 <= g3_p[5] <= 10)\n",
    "\n",
    "#@addConstraint(mod, g4_p[1] >= 0.)\n",
    "#@addConstraint(mod, g4_p[2] >= 0.)\n",
    "#@addConstraint(mod, -20 <= g4_p[3] <= 0.0)\n",
    "#@addConstraint(mod, 3600 <= g4_p[4] <= 3620)\n",
    "#@addConstraint(mod, 0 <= g4_p[5] <= 10)\n",
    "\n",
    "#@addConstraint(mod, g5_p[1] >= 0.)\n",
    "#@addConstraint(mod, g5_p[2] >= 0.)\n",
    "#@addConstraint(mod, -20 <= g5_p[3] <= 0.0)\n",
    "#@addConstraint(mod, 3620 <= g5_p[4] <= 3630)\n",
    "#@addConstraint(mod, 0 <= g5_p[5] <= 10)\n",
    "\n",
    "# The expression\n",
    "@defNLExpr(g1_mod[j=1:n],((g1_p[2] - g1_p[1]) * erfc(x_fit[j,1]/(2. * sqrt( 10^g1_p[3] * time))) + g1_p[1]) *exp(-log(2) * ((x_fit[j,2]-g1_p[4])/g1_p[5])^2))\n",
    "@defNLExpr(g2_mod[j=1:n],((g2_p[2] - g2_p[1]) * erfc(x_fit[j,1]/(2. * sqrt( 10^g2_p[3] * time))) + g2_p[1]) *exp(-log(2) * ((x_fit[j,2]-g2_p[4])/g2_p[5])^2))\n",
    "@defNLExpr(g3_mod[j=1:n],((g3_p[2] - g3_p[1]) * erfc(x_fit[j,1]/(2. * sqrt( 10^g3_p[3] * time))) + g3_p[1]) *exp(-log(2) * ((x_fit[j,2]-g3_p[4])/g3_p[5])^2))\n",
    "@defNLExpr(g4_mod[j=1:n],((g4_p[2] - g4_p[1]) * erfc(x_fit[j,1]/(2. * sqrt( 10^g4_p[3] * time))) + g4_p[1]) *exp(-log(2) * ((x_fit[j,2]-g4_p[4])/g4_p[5])^2))\n",
    "@defNLExpr(g5_mod[j=1:n],((g5_p[2] - g5_p[1]) * erfc(x_fit[j,1]/(2. * sqrt( 10^g5_p[3] * time))) + g5_p[1]) *exp(-log(2) * ((x_fit[j,2]-g5_p[4])/g5_p[5])^2))\n",
    "\n",
    "@defNLExpr(y_model[j=1:n], g1_mod[j] + g2_mod[j] + g3_mod[j] + g4_mod[j] + g5_mod[j])\n",
    "\n",
    "@setNLObjective(mod,Min,sum{(y_model[j] - y_fit[j])^2, j=1:n})\n",
    "println(\"Constructed...\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now plot the data to see how looks like the initial model. If not good, we update the above values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "PyPlot.Figure(PyObject <matplotlib.figure.Figure object at 0x3233236d0>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "5-element Array{Any,1}:\n",
       " PyObject <matplotlib.lines.Line2D object at 0x324985d50>\n",
       " PyObject <matplotlib.lines.Line2D object at 0x324b9aa90>\n",
       " PyObject <matplotlib.lines.Line2D object at 0x324b9ac50>\n",
       " PyObject <matplotlib.lines.Line2D object at 0x324b9ae10>\n",
       " PyObject <matplotlib.lines.Line2D object at 0x324b9afd0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#constructing an initial representation of the model\n",
    "p0 = [getValue(g1_p[1]),getValue(g1_p[2]),getValue(g1_p[3]),getValue(g1_p[4]),getValue(g1_p[5]),getValue(g2_p[1]),getValue(g2_p[2]),getValue(g2_p[3]),getValue(g2_p[4]),getValue(g2_p[5]),getValue(g3_p[1]),getValue(g3_p[2]),getValue(g3_p[3]),getValue(g3_p[4]),getValue(g3_p[5]),getValue(g4_p[1]),getValue(g4_p[2]),getValue(g4_p[3]),getValue(g4_p[4]),getValue(g4_p[5]),getValue(g5_p[1]),getValue(g5_p[2]),getValue(g5_p[3]),getValue(g5_p[4]),getValue(g5_p[5])]\n",
    "\n",
    "selected_spectrum = 50 #for peak fitting figures\n",
    "composantes = model(p0,x_fit,Float64(time),compo_out=1)\n",
    "interest_compos = composantes[selected_spectrum*length(x)+1:selected_spectrum*length(x)+length(x),:]\n",
    "\n",
    "plot(x, y[:,:], color=\"black\", linewidth=1.0, linestyle=\"-\")\n",
    "plot(x,interest_compos[:,:],color=\"blue\", linewidth=1.0, linestyle=\"-\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we launch the optimisation procedure with the Ipopt algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solving...\n",
      "\n",
      "******************************************************************************\n",
      "This program contains Ipopt, a library for large-scale nonlinear optimization.\n",
      " Ipopt is released as open source code under the Eclipse Public License (EPL).\n",
      "         For more information visit http://projects.coin-or.org/Ipopt\n",
      "******************************************************************************\n",
      "\n",
      "Solver status: Optimal\n",
      "rmsd: 1.2347604001700583e-7\n"
     ]
    }
   ],
   "source": [
    "#res1 = optimize(sqerror,intermediate_p,method=:simulated_annealing,iterations = 1000)\n",
    "\n",
    "# Solve for the control and state\n",
    "println(\"Solving...\")\n",
    "status = solve(mod)\n",
    "\n",
    "# Display results\n",
    "println(\"Solver status: \", status)\n",
    "println(\"rmsd: \", getObjectiveValue(mod))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have a good solution. Let's see now how things look like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "PyPlot.Figure(PyObject <matplotlib.figure.Figure object at 0x324c56410>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "5-element Array{Any,1}:\n",
       " PyObject <matplotlib.lines.Line2D object at 0x324c89e10>\n",
       " PyObject <matplotlib.lines.Line2D object at 0x324c99510>\n",
       " PyObject <matplotlib.lines.Line2D object at 0x324c996d0>\n",
       " PyObject <matplotlib.lines.Line2D object at 0x324c99890>\n",
       " PyObject <matplotlib.lines.Line2D object at 0x324c99a50>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_params = [getValue(g1_p[1]),getValue(g1_p[2]),getValue(g1_p[3]),getValue(g1_p[4]),getValue(g1_p[5]),getValue(g2_p[1]),getValue(g2_p[2]),getValue(g2_p[3]),getValue(g2_p[4]),getValue(g2_p[5]),getValue(g3_p[1]),getValue(g3_p[2]),getValue(g3_p[3]),getValue(g3_p[4]),getValue(g3_p[5]),getValue(g4_p[1]),getValue(g4_p[2]),getValue(g4_p[3]),getValue(g4_p[4]),getValue(g4_p[5]),getValue(g5_p[1]),getValue(g5_p[2]),getValue(g5_p[3]),getValue(g5_p[4]),getValue(g5_p[5])]\n",
    "\n",
    "selected_spectrum = 2 #for peak fitting figures\n",
    "composantes = model(best_params,x_fit,Float64(time),compo_out=1)\n",
    "interest_compos = composantes[selected_spectrum*length(x)+1:selected_spectrum*length(x)+length(x),:]\n",
    "\n",
    "plot(x, y[:,selected_spectrum], color=\"black\", linewidth=1.0, linestyle=\"-\")\n",
    "plot(x,interest_compos[:,:],color=\"blue\", linewidth=1.0, linestyle=\"-\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Julia 0.4.3",
   "language": "julia",
   "name": "julia-0.4"
  },
  "language_info": {
   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
   "version": "0.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
